Value: $113.99
(as of Oct 01, 2025 12:35:54 UTC – Particulars)
OpenAI’s GPT-3, ChatGPT, GPT-4 and Hugging Face transformers for language duties in a single e book. Get a style of the way forward for transformers, together with pc imaginative and prescient duties and code writing and help.
Buy of the print or Kindle e book features a free eBook in PDF format
Key Options:
Pretrain a BERT-based mannequin from scratch utilizing Hugging FaceFine-tune highly effective transformer fashions, together with OpenAI’s GPT-3, to study the logic of your dataPerform root trigger evaluation on onerous NLP issues
Guide Description:
Transformers are…nicely…remodeling the world of AI. There are lots of platforms and fashions on the market, however which of them greatest fit your wants?
Transformers for Pure Language Processing, 2nd Version, guides you thru the world of transformers, highlighting the strengths of various fashions and platforms, whereas educating you the problem-solving abilities it’s worthwhile to sort out mannequin weaknesses.
You may use Hugging Face to pretrain a RoBERTa mannequin from scratch, from constructing the dataset to defining the information collator to coaching the mannequin.
In case you’re trying to fine-tune a pretrained mannequin, together with GPT-3, then Transformers for Pure Language Processing, 2nd Version, exhibits you the way with step-by-step guides.
The e book investigates machine translations, speech-to-text, text-to-speech, question-answering, and lots of extra NLP duties. It gives methods to resolve onerous language issues and will even assist with pretend information nervousness (learn chapter 13 for extra particulars).
You may see how cutting-edge platforms, similar to OpenAI, have taken transformers past language into pc imaginative and prescient duties and code creation utilizing Codex.
By the tip of this e book, you may know the way transformers work and the right way to implement them and resolve points like an AI detective!
What You Will Be taught:
Learn how ViT and CLIP label photographs (together with blurry ones!) and create photographs from a sentence utilizing DALL-EDiscover new methods to analyze complicated language problemsCompare and distinction the outcomes of GPT-3 in opposition to T5, GPT-2, and BERT-based transformersCarry out sentiment evaluation, textual content summarization, informal speech evaluation, machine translations, and extra utilizing TensorFlow, PyTorch, and GPT-3Measure the productiveness of key transformers to outline their scope, potential, and limits in manufacturing
Who this e book is for:
If you wish to find out about and apply transformers to your pure language (and picture) knowledge, this e book is for you.
You may want a very good understanding of Python and deep studying and a fundamental understanding of NLP to profit most from this e book. Many platforms coated on this e book present interactive consumer interfaces, which permit readers with a basic curiosity in NLP and AI to observe a number of chapters. And, don’t fret in the event you get caught or have questions; this e book offers you direct entry to our AI/ML neighborhood and creator, Denis Rothman. So, he’ll be there to information you in your transformers journey!
From the Writer
Learn to use BertViz, the Language Interpretability Device (LIT), and Native Interpretable Mannequin-Agnostic Explanations (LIME) to visualise and interpret the interior workings of transformers.
Purchase the talents to resolve false mannequin outputs, making use of the precise language instruments to get to the basis reason for the issue.
Run semantic function label experiments with transformer fashions to grasp how these fashions method such duties and analyze informal speech.
Guide Subjects and Platforms Used:
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Pretraining a BERT transformer
Hugging Face Hugging Face
Superb-tuning transformer fashions
Hugging Face and OpenAI Hugging Face
Pure language translation
Trax Trax
Textual content summarization
Hugging Face and OpenAI Hugging Face
Coaching a tokenizer
OpenAI and NLTK – no knowledge
Semantic function labeling (SRL) testing
AllenNLP AllenNLP
Query-answering duties
Hugging Face, OpenAI, AllenNLP, and Haystack Hugging Face, AllenNLP, and Haystack
Sentiment evaluation
Hugging Face, OpenAI, and AllenNLP Hugging Face and AllenNLP
Imaginative and prescient transformers
Hugging Face and OpenAI – no knowledge
Creating code from sentences
OpenAI – no knowledge
Writer : Packt Publishing
Publication date : March 25 2022
Version : 2nd ed.
Language : English
Print size : 602 pages
ISBN-10 : 1803247339
ISBN-13 : 978-1803247335
Merchandise weight : 1.02 kg
Dimensions : 19.05 x 3.45 x 23.5 cm
Finest Sellers Rank: #396,463 in Books (See High 100 in Books) #22 in Workplace Certifications #59 in Microsoft Phrase (Books) #150 in AI Human Imaginative and prescient & Language Techniques
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